Main Component Finish Process
The finishing process “Oxide” was (negatively) predictive of profitability.
We used a linear regression model to predict which of CravenSpeed’s parts will be most profitable over time. Overall, we found that parts like the FlexPod are likely to be most profitable for CravenSpeed. It is a small, inexpensive plastic part that is useful for many makes, models, and years.
We used a random forests technique to show which features are most important to this model.
We converted this to a number, ranging from 0 to 31 included in each SKU.
This variable suggests retailers are ordering this product.
A few product types are especially profitable over the period of this dataset.
This feature suggests that long-term profitability has a negative correlation with drop shipments.
The finishing process “Oxide” was (negatively) predictive of profitability.
Variants tend to be less profitable.
We created this feature to show the number of model years a product works for.